Smart Recommendation of Telecommunication Services

Abstract

In this paper <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> This publication has emanated from research conducted with the financial support of the Bulgarian National Science Fund (BNSF) under the Grant No. KP-06-IP-CHINA/1 (КП-06-ИП-КИТАЙ/1)., a new vision is presented for highly contextualized, customized, and personalized recommendation of telecommunication services to mobile users (consumers) by considering the current consumer-, network-, and service context. A framework for smart recommendation of telecommunication services, which builds up and dynamically manages personal profiles of consumers, is elaborated. This seeks to facilitate service discovery and recommendation for the consumers, in support of the consumer-choice optimization process, and achieving the best quality of experience (QoE) when utilizing different telecommunication services, accessible through any kind of mobile devices (e.g., smartphones, tablets, laptops, etc.) via heterogeneous wireless access networks, anytime-anywhere-anyhow. The smart algorithm-driven recommended services range from classic telecommunication services (e.g., outgoing voice calls) to Internet services (e.g., multimedia streaming) and to Internet of Things (IoT) services. The algorithms also could be adapted and expanded to cover more sophisticated services working towards satisfying the health and safety needs of consumers, such as finding (with subsequent dynamic changing, if required) the most ‘healthy’ or ‘safe’ driving/biking/jogging/walking route to follow in order to avoid areas posing particular, consumer-specific, health or safety risk.